CFP: Post-Editing of Machine Translation
Editors: Sharon O'Brien, DCU and Michel Simard, National Research Council of Canada
Special issue of Machine Translation (http://www.springer.com/computer/artificial/journal/10590)
As the adoption of Machine Translation within the global translation
industry increases, attention has turned to the task of "post-editing",
that is, the revision of raw machine translated output. Until now,
post-editing was a relatively uncommon task in the domain of
professional translation. The increasing demand for this service has
attracted attention from researchers in the related disciplines of
translation studies and machine translation, as well as from users of
machine translation. Consequently, the number of research and
practice-based papers on the topic has increased over the last years,
with attention been given to a number of important questions, each
touching on various aspects of the task, including cognitive effort,
productivity, quality, economics, user interfaces, training and
human-computer interaction. The time would appear ripe for a Special
Issue dedicated to research on this topic. We encourage researchers that
are engaged in innovative, robust and exciting research on post-editing
to submit extended papers. We envisage a Special Issue that showcases
the top current interdisciplinary approaches to research on
post-editing. We are seeking collaborations that are experimentally
sound, and show awareness of the current state of MT technology with
regard to post-editing and of existing industry practices involving that
technology.
TOPICS OF INTEREST
In particular, we invite contributions that address the following aspects of post-editing:
- Productivity
- Quality
- Active use of post-editing data
- UI design
- Automatic and computer-assisted post-editing
- Economics
- Ethical Issues (e.g. agency, IP ownership, etc.)
- Expertise and Training
- Language-specific issues
This special issue will provide a forum for this vital research to be
published and archived, so that it is accessible to the broad Machine
Translation, Human Translation and Computational Linguistics
communities.
SUBMISSION GUIDELINES
Contributors must send a "Submission Intent" email message to "sharon.obrien@dcu.ie" by no later than 18 November 2013.
Contributions will be accepted until 20 January 2014. Papers should be
submitted online directly on the MT journal's submission website:
http://www.editorialmanager.com/coat/default.asp
indicating this special issue in Œarticle type¹
Authors should follow the "Instructions for Authors" available on the MT Journal website at:
http://www.springer.com/computer/artificial/journal/10590
Submissions should normally be between 15 and 20 pages, but should notexceed 20 pages (excluding references)
IMPORTANT DATES
- Intention to submit email: 18 November 2013
- Paper submission deadline: 20 January 2014
- Acceptance notifications: 14 March 2014
- Final versions due: 28 April 2014
- Expected Publication: September 2014
CONTACT
- Please send any inquiries to "sharon.obrien@dcu.ie" or
"michel.simard@nrc.gc.ca".
Editors: Sharon O'Brien, DCU and Michel Simard, National Research Council of Canada
Special issue of Machine Translation (http://www.springer.com/computer/artificial/journal/10590)
As the adoption of Machine Translation within the global translation industry increases, attention has turned to the task of "post-editing", that is, the revision of raw machine translated output. Until now, post-editing was a relatively uncommon task in the domain of professional translation. The increasing demand for this service has attracted attention from researchers in the related disciplines of translation studies and machine translation, as well as from users of machine translation. Consequently, the number of research and practice-based papers on the topic has increased over the last years, with attention been given to a number of important questions, each touching on various aspects of the task, including cognitive effort, productivity, quality, economics, user interfaces, training and human-computer interaction. The time would appear ripe for a Special Issue dedicated to research on this topic. We encourage researchers that are engaged in innovative, robust and exciting research on post-editing to submit extended papers. We envisage a Special Issue that showcases the top current interdisciplinary approaches to research on post-editing. We are seeking collaborations that are experimentally sound, and show awareness of the current state of MT technology with regard to post-editing and of existing industry practices involving that technology.
TOPICS OF INTEREST
In particular, we invite contributions that address the following aspects of post-editing:
- Productivity
- Quality
- Active use of post-editing data
- UI design
- Automatic and computer-assisted post-editing
- Economics
- Ethical Issues (e.g. agency, IP ownership, etc.)
- Expertise and Training
- Language-specific issues
This special issue will provide a forum for this vital research to be published and archived, so that it is accessible to the broad Machine Translation, Human Translation and Computational Linguistics communities.
SUBMISSION GUIDELINES
Contributors must send a "Submission Intent" email message to "sharon.obrien@dcu.ie" by no later than 18 November 2013.
Contributions will be accepted until 20 January 2014. Papers should be submitted online directly on the MT journal's submission website:
http://www.editorialmanager.com/coat/default.asp
indicating this special issue in Œarticle type¹
Authors should follow the "Instructions for Authors" available on the MT Journal website at:
http://www.springer.com/computer/artificial/journal/10590
Submissions should normally be between 15 and 20 pages, but should notexceed 20 pages (excluding references)
IMPORTANT DATES
- Intention to submit email: 18 November 2013
- Paper submission deadline: 20 January 2014
- Acceptance notifications: 14 March 2014
- Final versions due: 28 April 2014
- Expected Publication: September 2014
CONTACT
- Please send any inquiries to "sharon.obrien@dcu.ie" or
"michel.simard@nrc.gc.ca".
Machine Translation - incl. option to publish open access
Covers
all branches of computational linguistics and language engineering,
wherever they incorporate a multilingual aspect. It features papers that
cover the
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